Super-Intelligent Machines combines neuroscience and computer science to
analyze future intelligent machines. It describes how they will mimic the
learning structures of human brains to serve billions of people via the
network, and the superior level of consciousness this will give them.
Whereas human learning is reinforced by self-interests, this book describes
the selfless and compassionate values that must drive machine learning in
order to protect human society. Technology will change life much more in
the twenty-first century than it has in the twentieth, and
Super-Intelligent Machines explains how that can be an advantage.

CONTENTS
Preface.
1. Goetterdaemmerung.
Part I: Humans Will Create
Super-Intelligent Machines.
2. The Basics of Machine Intelligence.
3. Computers as Tools.
4. Arguments Against the Possibility of Machine Intelligence.
5. The Current State of the Art in Machine Intelligence.
6. Neuroscience.
7. Dawn of the Gods.
Part II: Super-Intelligent
Machines Must Love All Humans.
8. Good God, Bad God.
9. Brain Engineering.
10. Current Public Policy for Information Technology.
11. Public Education and Control.
12. Visions of Machine Intelligence.
13. Endings.
Part III: Should Humans Become Super-Intelligent Machines?
14. Current Connections Between Brains and Machines.
15. Humans Minds in Machine Brains.
16. Humans Will Want to Become Super-Intelligent Machines.
17. Super-Intelligent Humans Must Love All Humans.
Part IV:
Conclusion.
18. The Ultimate Engineering Challenge.
19. Inventing God.
20. Messages to the Future. Bibliography. Index.

This volume arises directly out of the activities of the INTAS-RFBR
Research Project, which is scheduled to run from December 1999 to November
2002. Participating scientists are leading scholars in their fields, and
their contributions make this book an excellent, up-to-date account of
recent and in some cases as yet unpublished achievements in the field of
Computability Theory and its Applications.